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Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, and Felix J. Herrmann, “Wave-equation based inversion with amortized variational Bayesian inference”, in EAGE Annual Conference Proceedings, 2022, p. Session 2: Velocity model building and imaging (different domains).
J. Park, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Velocity Model Building with Jacobian-Informed Neural Operators”, in ML4SEISMIC Partners Meeting, 2025.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Velocity continuation with Fourier neural operators for accelerated uncertainty quantification”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Richard Rex, Ziyi Yin, and Felix J. Herrmann, “Velocity Continuation for Common Image Gathers with Fourier Neural Operators”, in International Meeting for Applied Geoscience and Energy, 2024.
Felix Oghenekohwo, Rajiv Kumar, Ernie Esser, and Felix J. Herrmann, “Using common information in compressive time-lapse full-waveform inversion”, in EAGE Annual Conference Proceedings, 2015.
Joost van der Neut and Felix J. Herrmann, “Up / down wavefield decomposition by sparse inversion”, in EAGE Annual Conference Proceedings, 2012.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, and Felix J. Herrmann, “Unsupervised data-guided uncertainty analysis in imaging and horizon tracking”, in SIAM Texas-Louisiana, 2020.
Tim T.Y. Lin and Felix J. Herrmann, “Unified compressive sensing framework for simultaneous acquisition with primary estimation”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3113-3117.
Curt Da Silva and Felix J. Herrmann, “A unified 2D/3D software environment for large scale time-harmonic full waveform inversion”, in SEG Technical Program Expanded Abstracts, 2016, pp. 1169-1173.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, and Felix J. Herrmann, “Uncertainty-aware time-lapse monitoring of geological carbon storage with learned surrogates”, in Engineering Mechanics Institute Conference, 2023.
Felix J. Herrmann, “Uncertainty-aware machine-learning enabled velocity-model building with Devito”, in 18th Annual Energy High Performance Computing Conference 2025, RICE, 2025, p. 4th Annual Devito User and Developer Workshop.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Grant Bruer, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “An Uncertainty-Aware Digital Twin for Geological Carbon Storage”, in SIAM Conference on Uncertainty Quantification, 2024.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, in EAGE Annual Conference Proceedings, 2015.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Tristan van Leeuwen, and Felix J. Herrmann, “Uncertainty quantification for Wavefield Reconstruction Inversion using a PDE free semidefinite Hessian and randomize-then-optimize method”, in SEG Technical Program Expanded Abstracts, 2016, pp. 1390-1394.
Zhilong Fang, Curt Da Silva, Rachel Kuske, and Felix J. Herrmann, “Uncertainty quantification for inverse problems with a weak wave-equation constraint”, in WAVES 2017 –- 13th International Conference on Mathematical and Numerical Aspects of Wave Propagation, 2017, pp. 127-128.
Mathias Louboutin and Felix J. Herrmann, “Ultra-low memory seismic inversion with randomized trace estimation”, in SEG Technical Program Expanded Abstracts, 2021, pp. 787-791.
Mi Zhang, Ali Siahkoohi, and Felix J. Herrmann, “Transfer learning in large-scale ocean bottom seismic wavefield reconstruction”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1666-1670.
Huseyin Tuna Erdinc, Souza, T., Zeng, S., Rafael Orozco, and Felix J. Herrmann, “Towards foundation models for subsurface priors and posteriors”, in Workshop on Scientific Machine Learning 2025, Austin, TX, 2025.
Felix Oghenekohwo, Ernie Esser, and Felix J. Herrmann, “Time-lapse seismic without repetition: reaping the benefits from randomized sampling and joint recovery”, in EAGE Annual Conference Proceedings, 2014.
Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, “Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model”, in International Meeting for Applied Geoscience and Energy, 2023.
Felix Oghenekohwo, Rajiv Kumar, Ernie Esser, and Felix J. Herrmann, “Time-lapse FWI with distributed compressed sensing”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Z. Deng, Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Time-lapse full-waveform inversion with uncertainty quantification”, in ML4SEISMIC Partners Meeting, 2025.
Z. Deng, Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Time-lapse full-waveform inversion with uncertainty quantification”, in International Meeting for Applied Geoscience and Energy, 2025.

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